Skill Creator
SkillAI & modelsCreate, edit, and evaluate agent skills iteratively.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill Creator skill
What this skill tells your AI
The instructions your AI receives, as published by hezaohezao/poirot in poirot/backend/agents/skill/builtin_skills/core/skill-creator/SKILL.md and read by ahel’s review.
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
- Decide what you want the skill to do and roughly how it should do it
- Write a draft of the skill (a
SKILL.mdwith YAML frontmatter + Markdown body) - Create a few test prompts and run them with the skill injected
- Help the user evaluate the results both qualitatively and quantitatively
- Rewrite the skill based on feedback from the user's evaluation
- Repeat until you're satisfied
- Expand the test set and try again at larger scale
Your job when using this skill is to figure out where the user is in this process and then jump in and help them progress through these stages.
Poirot skill format
A Poirot skill lives in a directory containing SKILL.md:
skills/<category>/<skill-name>/SKILL.md # user skills
poirot/backend/agents/skill/builtin_skills/<category>/<skill-name>/SKILL.md # builtin
Frontmatter fields:
---
name: <skill-name> # unique, lowercase-hyphenated
description: <≤60 char one sentence ending with a period>
allowed-tools: # Poirot tools this skill may invoke
- web_search
- browse_page
- bash
- read_file
- write_file
- list_dir
- str_replace
- present_files
- read_snapshot
enabled: true
related-skills: [<other-skill-name>] # optional cross-references
license: MIT # recommended for contributed skills
author: <human contributor or source attribution>
---
Body: # <Skill> title, 2-3 sentence intro, ## When to Use,
## How to Run, ## Procedure, ## Pitfalls, ## Verification.
Authoring standards
description≤ 60 characters, one sentence, ends with a period. State the capability, not the implementation. No marketing words.- Tools referenced in prose must be native Poirot tools (listed above) or
MCP servers the skill explicitly expects. Do NOT name shell utilities the
agent already has wrapped —
grep→bash,cat/head/tail→read_file,sed/awk→str_replace,find/ls→list_dir. - Scripts go in
scripts/, references inreferences/, templates intemplates/inside the skill directory. Don't expect the model to inline-write non-trivial logic every call — ship a helper script. - Keep the body focused: ~100 lines for a simple skill, ~200 for complex.
Iteration loop
- Draft
SKILL.md - Install via
/skill install <path>(or place underskills/) - Reload:
/skill listshould show it active - Run test prompts; observe whether the skill's guidance is followed
- Revise frontmatter
descriptionfor better triggering, body for clarity - Repeat
Pitfalls
- Description too long → dilutes model attention when many skills loaded
- Naming shell utilities instead of Poirot tools → model hallucinates calls to non-existent tools
- No
## When to Usesection → model triggers skill on wrong tasks - Frontmatter with unknown fields → parser may ignore silently; stick to the schema above
Signals
- GitHub stars
- 220
- Forks
- 19
- Last commit
- Jul 2026
- Hacker News mentions
- 1
Advanced
- Catalog kind
- skill
- Gateway key
skill-creator-hezaohezao- Source
- github.com/hezaohezao/poirot